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The analysis of land-cover change in the Berg River catchment has revealed notable changes occurring in various portions of the catchment. However, many questions are posed by the result presented in the preceding chapter. This section suggests avenues for further study.

As noted in preceding sections, significant areas of re-established Hopefield Sand Fynbos were registered in the change analysis. A detailed assessment of this vegetation type that measures species diversity between different areas of natural vegetation would contribute significantly toward an assessment of biodiversity in this area. Pivotally, the status of reclaimed areas of Hopefield Sand Fynbos in terms of species composition and diversity should be established as this would provide a good indication of the prospects for species associated with this vegetation type. Such research could contribute significantly toward the sustainable management of this area.

Significant reductions in cultivation were evident over the study period. While the degree to which this is indicative of genuine large-scale changes in agricultural practices is questionable, it is clear that undocumented changes are taking place. Various explanations for the changes have been offered ranging from a decreasing watertable to the intensification of centre-point irrigated potato cultivation (Helme pers com 2011). However, no satisfactory explanations have yet been found. As shifts in agricultural practice have far-reaching consequences for biodiversity as well as economic activity in this area, assessment of agricultural changes should be undertaken to determine whether the trends described in this study are authentic, what is driving them and their potential implications for the sustainable management of the Berg River catchment.

Large-scale removal of commercial forestry in and around the headwaters of the Berg River was revealed by this study. Some work has been done on the capacity of indigenous vegetation to re- establish following the removal of commercial forestry, but little has focused on the current state of the areas which have been cleared. This study advocates a detailed assessment of the compositional diversity of re-established fynbos and renosterveld vegetation types in denuded plantations. As the WfW programme has prioritized the removal of alien trees in riparian areas of the Berg River catchment, the status of these areas following the removal of alien vegetation should be assessed as well.

Invasive alien vegetation poses one of the single greatest threats to indigenous biodiversity in the CFR. It is hence a pivotal and pressing concern that the invaded areas be identified and contained. Direct measures of mapping alien vegetation are time-consuming and, given the scale of the problem, are unlikely to offer an effective solution. Rouget et al. (2004a) have modeled the potential range of invasive alien plant species in accordance with environmental characteristics to streamline further research and clearing efforts. However, this approach fails to give an indication of actual invasions and does not adequately address the problem. Data

concerning the distribution of alien vegetation in South Africa are at a very coarse scale and impractical for catchment-scale studies. Identifying alien vegetation through remote-sensing techniques and technologies is most likely the only means by which alien vegetation can be identified over large areas. The capacity to monitor invasions with this approach provides added incentive to develop means of identifying alien vegetation through a remote sensing approach. This study was unable to establish reliable spectral approaches to identify alien vegetation. Moreover, visual identification is time-consuming and ineffective with many of the species because of their aesthetic similarity to indigenous vegetation when considered at a coarse resolution. A means of automatically delineating areas of alien vegetation would be of tremendous import to future biodiversity assessment in this area.

Cape inland salt pans and Cape vernal pools represent important ecosystems, particularly for amphibians and certain bird species. The study showed these features to be substantially underrepresented on Mucina, Rutherford & Powrie’s (2007) vegetation map. It is recommended that an effort be made to accurately map these features. Further, as these features are often surrounded by agricultural land it is urged that the impacts of agricultural practices on these areas be assessed.

While not described in detail in this report, rapid urban development is taking place along the coastal zone to the east of Velddrif. This coastal zone accommodates diverse and acutely sensitive ecosystems and owing to their aesthetic appeal the zone is often subjected to intensive development (Palmer 2008). Little has been done to assess the impacts that development in this area have and will have on coastal ecosystems and the diverse assemblage of species that they support. It is consequently recommended that detailed research be done on the optimal management of this coastal area.

6.4 CONCLUSION

Biodiversity is a diverse concept that covers a range of entities over multiple spatial and temporal scales. Because of this it can be measured in many ways, each subject to its own unique set of advantages, shortcomings and assumptions. The relationship between biodiversity and land cover is complex and no doubt varies considerably depending on the context and the area in which it is assessed. This research has clearly shown the difficulty of positing simple cause-and- effect relationships between biodiversity and land-cover change. However, land-cover change provides an ideal platform from which to initiate more intensive analyses of biodiversity changes.

The most insightful conclusion that can be drawn from this study is that there is a need to develop more accurate and comprehensive monitoring systems for biodiversity in South Africa and especially in the CFR. Large gaps exist in our capacity to translate changes in land cover into changes in biodiversity at all levels of biological organization and to devise conservation and management plans in the light of these impacts. If the myriad challenges that face human societies at the dawn of the 21st century, such as increased pressure on a finite natural resource base associated with population growth and socio-economic development, anthropogenic climate change and rapidly escalating biodiversity loss, are to be adequately mitigated, a robust understanding of the relationship between land cover and biodiversity is not only essential but will likely prove crucial to our future well-being.

REFERENCES

Baatz M and Schäpe A 1999. Multiresolution segmentation – an optimization approach for high quality multi-scale image segmentation. In Strobl J, Blaschke T and Griesebner G (eds) 2000, Angewandte Geographische Informations-Verarbeitung XII, 12–23. Karlsruhe: Wichmann Verlag.

Baatz M, Hofmann P & Willhauck G 2008. Progressing from object-based to object-oriented image analysis. In Blaschke T, Lang S & Hay GJ (eds) Object-based image analysis: Spatial concepts for knowledge-driven remote sensing applications, 29-42. Berlin: Springer.

Bailey RG 1996. Ecosystem geography. Berlin: Springer.

Biggs R & Scholes RJ 2002. Land-cover changes in South Africa 1911-1993. South African Journal of Science 98: 420-424.

Biggs R, Reyers B & Scholes RJ 2006. A biodiversity intactness score for South Africa. South African Journal of Science 102: 277-283.

Biggs H Simons H, Bakkenes M, Scholes RJ, Eickhout B, VanVuuren D & Alkemade R 2008. Scenarios of biodiversity loss in southern Africa in the 21st century. Global

Environmental Change 18: 296-309.

Blaschke T 2010. Object based image analysis for remote sensing. Journal of Photogrammetry and Remote Sensing 65: 2-16.

Borras SM 2003. Questioning market-led agrarian reforms: Experiences from Brazil, Columbia and South Africa. Journal of Agrarian Change 3: 367-394.

Botes A, McGeoch MA, Robertson HG, van Niekerk A, Davids HP & Chown SL 2006. Ants, altitude and change in the northern Cape Floristic Region. Journal of Biogeography 33: 71-90.

Bunnell FL & Huggard DJ 1999. Biodiversity across spatial and temporal scales: Problems and opportunities. Forest Ecology and Management 115: 113-126.

CapeNature 2007. Western Cape Province State of Biodiversity 2007. [Online]. Available from:

http://www.capenature.co.za/docs/1016/Biodiversity%20Review.pdf [Accessed: 13 April

Chen X 2002. Using remote sensing and GIS to analyse land cover change and its impacts on regional sustainable development. International Journal of Remote Sensing 23: 107-124. Clark B & Ratcliffe G (eds) 2007. Berg River baseline monitoring programme. Final report

volume 5: Synthesis. Pretoria: Department of Water Affairs and Forestry.

Clark Labs 2009. IDRISI focus paper: The Land Change Modeler for Ecological Sustainability. [Online]. Available from: http://www.clarklabs.org/applications/upload/Land-Change-

Modeler-IDRISI-Focus-Paper.pdf. [Accessed 30 January 2012].

Cloete TE, Nel LH & Theron J 2006. Biotechnology in South Africa. Trends in Biotechnology 24: 557-562.

Congalton RG & Green K 2009. Assessing the accuracy of remotely-sensed data: Principles and applications. 2nd ed. Boca Raton: CRC Press.

Cowling RM & Heijnis CE 2001. The identification of broad habitat units as biodiversity entities for systematic conservation planning in the Cape Floristic Region. South African Journal of Botany 67: 15-38.

Cowling RM, Pressey RL, Rouget M & Lombard AT 2003. A conservation plan for a global biodiversity hotspot—the Cape Floristic Region, South Africa. Biological Conservation 112: 191-216.

Crist PJ, Kohley TW & Oakleaf J 2000. Assessing land-use impacts on biodiversity using an expert systems tool. Landscape Ecology 15: 47-62.

Currie B, Milton SJ & Steenkamp JC 2009. Cost–benefit analysis of alien vegetation clearing for water yield and tourism in a mountain catchment in the Western Cape of South Africa. Ecological Economics 68: 2574-2579.

De Long DC 1996. Defining biodiversity. Wildlife Society Bulletin 24: 738-749.

DEAT (Department of Environmental Affairs and Tourism) 2005. South Africa’s national biodiversity strategy and action plan. Pretoria: Department of Environmental Affairs and Tourism.

De Villiers CC, Driver A, Clark B, Euston-Brown DIW, Day EG, Job N, Helme NA, Holmes PM, Brownlie S & Rebelo AB 2005. Fynbos forum: Ecosystem guidelines for

environmental assessment in the Western Cape. Kirstenbosch: Fynbos Forum and Botanical Society of South Africa.

De Villiers S 2007. The deteriorating nutrient status of the Berg River, South Africa. Water SA: 33: 659-664.

Didham RK, Tylianakis JM, Gemmell NJ, Rand TA & Ewers RM 2007. Interactive effects of habitat modification and species invasion on native species decline. Trends in Ecology and Evolution 22: 489-496.

Duelli P & Obrist M 2003. Biodiversity indicators: The choice of values and measures. Agriculture, Ecosystems and Environment 98: 87-98.

DWAF (Department of Water Affairs and Forestry) 2000. A review of the veld fires in the Western Cape during 15 January to 25 January 2000. Report to the minister of water affairs and forestry and premier of the Western Cape by the task team: Toward improved veldfire management in South Africa. [Online]. Available from:

http://www2.dwaf.gov.za/dwaf/cmsdocs/Elsa/Docs/Fire/Review-

veld%20fires%20WCape%20Jan%202000.pdf. [Accessed 2 February 2012].

Fahrig L 2001. How much habitat is enough? Biological Conservation 100: 65-74.

Fahrig L 2003. The effects of habitat fragmentation on biodiversity. Annual Review of Ecology, Evolution and Systematics 34: 487-515.

Faith DP 1996. Environmental diversity as the best-possible use of surrogate data for assessing the relative biodiversity of sets of areas. Biodiversity and Conservation 5: 399-415. Faith DP 2003. Environmental diversity (ED) as surrogate information for species-level

biodiversity. Ecography 23: 374-379.

Faith DP, Ferrier S & Walker PA 2004. The ED strategy: how species-level surrogates indicate general biodiversity patterns through an ‘environmental diversity’ perspective. Journal of biogeography 31: 1207-1217.

Falcucci A, Maiorano L & Boitani L 2007. Changes in land-use/land-cover patterns in Italy and their implications for biodiversity conservation. Landscape Ecology 22:617–631.

Falkner E & Morgan D 2002. Aerial mapping: Methods and applications. London: CRC Press LLC.

Ferrier S 2002. Mapping spatial pattern in biodiversity for regional conservation planning: Where to from here? Systematic Biology 51: 331-363.

Ferrier S & Guisan A 2006. Spatial modelling of biodiversity at the community level. Journal of Applied Ecology 43: 393-404.

Fischer & Lindenmayer 2007. Landscape modification and habitat fragmentation: A synthesis. Global Ecology and Biogeography 16: 265-280.

Flügel WA 1995. River salination due to dryland agriculture in the Western Cape province, Republic of South Africa. Environment International 21: 679-686.

Foley JA, DeFries R, Asner GP, Barford C, Bonan G, Carpenter SR, Chapin FS, Coe MT, Daily GC, Gibbs HK, Helkowski JH, Holloway T, Howard EA, Kucharik CJ, Monfreda C, Patz JA, Prentice C, Ramankutty N & Snyder PK 2005. Global consequences of land use. Science 309: 570-574.

Foody GM 2002. Status of land cover classification accuracy assessment. Remote Sensing of the Environment 80: 185-201.

Foody GM 2008. GIS: Biodiversity applications. Progress in Physical Geography 32: 223-235. Fourie CE, Van Niekerk A & Mucina L 2011. Optimising a one-class SVM for geographic

object-based novelty. Paper presented to AfricaGeo.

Galley C & Linder HP 2005. Geographical affinities of the Cape flora, South Africa. Journal of Biogeography 33: 236-250.

Gaston KJ (ed) 1996. Biodiversity – a biology of numbers and difference. Cambridge: Blackwell Science Ltd.

GCOS (Global Climate Observing System) 2006. Systematic observation requirements for satellite-based products for climate-supplemental details to the satellite-based component of the implementation 17 plan for global observing system for climate support [Online]. Available from: http://www.wmo.int/pages/prog/gcos/Publications/gcos-107.pdf

[Accessed 16 August 2011].

Gelderblom CM, Van Wilgen BW, Nel JL, Sandwith T, Botha M & Hauck M 2003. Turning stratergy into action: Implmenting a conservation actiopn plan in the Cape Floristic Region. Biological Conservation 112: 291-297.

Gerber L 2005. Biodiversity risk assessment of South Africa’s municipalities. Master’s thesis. Stellenbosch: Stellenbosch University.

Gibson PJ 2000. Introductory remote sensing: Principles and concepts. London: Routledge. Giliomee JH 2006. Conserving and increasing biodiversity in the large-scale, intensive farming

systems of the Western Cape, South Africa. South African Journal of Science. 102: 375- 378.

Gould W 2000. Remote sensing of vegetation, plant species richness and regional biodiversity hotspots. Ecological Applications 10: 1861-1870.

Grantham HS, Pressey RL, Wells JA, Beattie AJ 2010. Effectiveness of biodiversity surrogates for conservation planning: Different measures of effectiveness generate a kaleidoscope of variation [Online]. Available from:

http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0011430

[Accessed 9 July 2010].

Griscom HR, Miller SN, Gyedu-Ababio T & Sivanpillai R 2009. Mapping land cover change of the Luvuvhu catchment, South Africa for environmental modelling. GeoJournal 75:163- 173.

Haines-Young R 2009. Land use and biodiversity relationships. Land Use Policy 26: 178-186. Hamilton AJ 2005. Species diversity or biodiversity? Journal of Environmental Management 75:

89-92.

Hay GJ & Baschke T 2010. Geographic Object-Based Image Interpretation (GEOBIA). Photogrammetric Engineering and Remote Sensing 76: 121-123.

Heelemann S 2010. Renosterveld remnants: Current ecological situation and restoration perspectives. Doctoral dissertation. Regensburg: University of Regensburg.

Helmer EH, Brown S & Cohen WB 2000 Mapping montane tropical forest successional stage and land use with multi-date Landsat imagery. International Journal of Remote Sensing 21: 2163-2183.

Helmer EH, Ramos O, López TDM, Quiñones M & Diaz W 2002. Mapping the forest type and land cover of Puerto Rico, a component of the Caribbean biodiversity hotspot. Caribbean Journal of Science 38: 165-183.

Hill D, Fasham M, Tucker G, Sherwry M and Shaw P 2005. Handbook of biodiversity methods: Survey, evaluation and monitoring. Cambridge: Cambridge University Press.

Holmes PM & Richardson DM 1999. Protocols for restoration based on dynamics, community structure and ecosystem function: Perspectives from South African Fynbos. Restoration Ecology 7: 215-230.

Holmes PM, Richardson DM, Van Wilgen BW & Gelderblom C 2000. Recovery of South African fynbos vegetation following alien woody plant clearing and fire: Implications for restoration. Austral Ecology 25: 631-639.

Holmes PM 2008. Optimal ground preparation treatments for restoring lowland sand fynbos vegetation on old fields. South African Journal of Botany 74: 33-40.

Johnston CA 1998. Geographic information systems in ecology. Ames: Blackwell Science. Kamish W 2008. Hydrosalinity modelling of the Berg River using ACRU Salinity. Master’s

thesis. Stellenbosch: Stellenbosch University.

Kartikeyan B, Sarkar A & Majumder KL 1998. A segmentation approach to classification of remote sensing imagery. International Journal of Remote Sensing 19: 1695-1709. Keith DA, Orscheg C, Simpson CC, Clarke PJ, Hughes L, Kennelly SJ, Major RE, Soderquist

TR, Wilson AL & Bedward M 2009. A new approach and case study for estimating extent and rates of habitat loss for ecological communities. Biological Conservation 142: 1469-1479.

Kemper J, Cowling RM & Richardson DM 1999. Fragmentation of South African renosterveld shrublands: Effects on plant community structure and conservation implications. Biological Conservation 90: 103-111.

Kim M, Madden M & Bo X 2010. GEOBIA vegetation mapping in Great Smoky Mountains National Park with spectral and non-spectral ancillary information. Photogrammetric Engineering and Remote Sensing 76: 137-149.

Kirsten JF, Van Zyl J & Van Rooyen J 1994. South African agriculture during the 1980s. South African Journal of Economic History 9: 19-48.

Kontula T & Raunio A 2009. New method and criteria for national assessments of threatened habitat types. Biodiversity Conservation 18: 3861-3876.

Lambin EF & Ehrlich D 1997. Land-cover changes in sub-Saharan Africa (1982–1991): Application of a change index based on remotely sensed surface temperature and vegetation indices at a continental scale. Remote Sensing of Environment

61: 181-200.

Lawler JJ & White D 2008. Assessing the mechanism behind successful surrogates for biodiversity in conservation planning. Animal Conservation 11: 270-280.

Lepers E, Lambin EF, Janetos AC, Defries R, Achard F, Ramankutty N & Scholes RJ 2005. A synthesis of information on rapid land-cover change for the period 1981–2000.

BioScience 55: 115-124.

Lillesand TM, Kiefer RW & Chipman JW 2004. Remote sensing and image interpretation. 5th ed. New York: John Wiley and Sons.

Lochner P,Weaver A, Gelderblom C, Peart R, Sandwith T & Fowkes S 2003. Aligning the diverse: The development of a biodiversity conservation strategy for the Cape Floristic Region. Biological Conservation 112: 29-43.

Lombard AT, Cowling RM, Pressey RL & Rebelo AG 2003. Effectiveness of land classes as surrogates for species in conservation planning for the Cape Floristic Region. Biological Conservation 112: 45-62.

Loreau M, Naeem S & Inchausti P (eds) 2002. Biodiversity and ecosystem functioning. New York: Oxford University Press.

Low AB & Rebelo AG (eds) 1996. Vegetation of South Africa, Lesotho and Swaziland. Pretoria: Department of Environmental Affairs and Tourism.

Lück W 2006. CSIR Satellite Application Centre: Earth Observation Service Centre landcover class definition report. Pretoria: CSIR.

Lück W & Diemer N 2008. Land cover class definition report. Observation Service Centre Report, Version 1.1. Pretoria: CSIR Satellite Applications Centre: Earth.

McDonald RC, Isbell RF, Speight JG, Walker J & Hopkins MS 1984. Australian soil and land survey: Field handbook. Melbourne: Inkata Press Propriety Limited.

McCoy 2005. Field Methods in Remote Sensing. New York: Guilford Press.

Machange RW, Jenkins AR & Navarro RA 2005. Eagles as indicators of ecosystem health: Is the distribution of Martial Eagle nests in the Karoo, South Africa, influenced by variations in land-use and rangeland quality? Journal of Arid Environments 63: 223-243.

Mac Nally R, Bennett AF, Brown GW, Lumsden LF, Yen A, Hinkley S, Lillywhite P & Ward D 2002. How well do ecosystem-based planning units represent different components of biodiversity? Ecological Applications 12: 900-912.

Mannion AM 2002. Dynamic world: Land-cover and land-use change. London, Edward Arnold. Margules CR, Pressey RL & Williams PH 2002. Representing biodiversity: Data and procedures

for identifying priority areas for conservation. Journal of Biosicence 27: 309-326. Memiaghe HR 2008. Old field restoration: Vegetation response to soil changes and restoration

efforts in the Western Cape lowlands. Masters thesis. Stellenbosch: Stellenbosch University.

Meyer WB & Turner BL 1992. Human population growth and global land-use/cover change. Annual Review of Ecology and Systematics 23: 39-61.

Morain S 1999. GIS solutions in natural resource management: Balancing the technical- political equation. Santa Fe: OnWord press Press.

Morgan D & Falkner E 2002. Aerial Mapping: Methods and Applications. London: CRC Press.

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